Senior AI Infra Architect (Scale & Cost Efficiency)

Accenture Belgium; Brussel; On-site; EUR 110,000 - 150,000; Full time

Job summary

Accenture Belgium is seeking a Lead and Principal Infrastructure Architect to own end-to-end design of optimized compute infrastructure for large-scale AI/ML systems. You will translate business goals into scalable, cost-efficient architectures and lead teams across compute, networking, and storage with a focus on performance and security.

You will design and tune GPU clusters, establish CI/CD pipelines, and drive architecture decisions across cloud and on-prem environments, ensuring compliance

Qualifications

• Significant experience in coding, building, monitoring AI/ML applications.
• Strong understanding of AI/ML concepts and compute infrastructure.
• Proficiency in Python, Java, or C++.
• Experience deploying AI on public cloud and on-premise.

Responsibilities

• Own end-to-end architecture for optimized AI/ML compute infra.
• Evaluate architecture trade-offs across compute, networking, storage, and orchestration.
• Lead architecture reviews to identify gaps and optimizations.
• Define AI infrastructure roadmap aligned with business goals.
• Design deployment, automation, and CI/CD for AI systems.
• Establish AI monitoring and observability across InfraOps and MLOps.
• Collaborate with clients and engineering teams to translate requirements.
• Mentor engineers and lead design reviews.

Skills

Problem-solving

Communication skills

Project management

AI/ML infrastructure

Leadership

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Apache Airflow

Kubeflow

Public cloud (AWS/Azure/GCP)

Job description

Accenture Belgium is seeking a Lead and Principal Infrastructure Architect to own end-to-end design of optimized compute infrastructure for large-scale AI/ML systems. You will translate business goals into scalable, cost-efficient architectures and lead teams across compute, networking, and storage with a focus on performance and security.

You will design and tune GPU clusters, establish CI/CD pipelines, and drive architecture decisions across cloud and on-prem environments, ensuring compliance